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VP of Product Strategy to Discuss the Importance of Using the Right Tools for Big Data Challenges

SAN CARLOS, Calif. — February 13, 2012 — MarkLogic Corporation, the company powering mission-critical Big Data Applications around the world, today announced that David Gorbet, vice president of product strategy, MarkLogic, will be participating on the panel, “Trends in Vendor Tools” at this week’s TDWI BI Executive Summit in Las Vegas. On the panel, Gorbet will discuss key trends in the market as the industry moves toward leveraging Big Data in real time. For more information or to register for the conference, please visit the conference website.

The panel “Trends in Vendor Tools” will take place on Tuesday, February 14, from 10:15-11:15 a.m. (PT) and will include speakers from MarkLogic, Information Builders, MicroStrategy, and ParAccel. The TDWI BI Executive Summit is a unique and interactive knowledge-sharing event, packed with information about the latest strategies, techniques, and tools to get a handle on Big Data. IT and business leaders from various industries, with similar Big Data problems, can collaborate and network in workshops, case studies, panels, and breakout sessions.

“As organizations embrace Big Data Applications, the lines between data warehousing and operational databases are blurring,” said Gorbet. “Organizations increasingly want to move beyond offline analysis of extracted or summarized data to incorporating all relevant data in their business processes in real time. The volume, velocity, variety, and complexity of data they have to deal with today makes this particularly challenging, but with the right tools, organizations that manage to leverage their Big Data to run their operations are seeing significant competitive advantage.”

About MarkLogic

The MarkLogic semantic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified platform lets organizations securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise.

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